Substrate effects on transport properties of a biased AA-stacked bilayer graphene

  • Hasan M. Abdullah*
  • , H. Bahlouli
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The important experimental advances in graphene fabrication and its peculiar transport properties motivated researchers to utilize graphene as a potential basis for the next generation of fast and smart electronic devices. In this article, we investigate the influence of a potential substrate on the transport properties of a biased AA-stacked n-p-n bilayer graphene junction (AA-BLG). Using the Dirac Hamiltonian with the transfer matrix approach we obtain the transmission probabilities and thus the respective conductance. In the presence of the induced mass-term the energy spectrum and the intra-cone transmission drastically change while the inter-cone transmission remains zero. On the other hand, the bias slightly alters the energy spectrum but it significantly affects the transport properties due to its ability to switch on the inter-cone transmission. In addition, we find that Klein tunnelling is attenuated in the presence of the induced mass-term which can improve the carriers confinement in such configurations. Our findings provide possible experimental measurements to determine the interlayer coupling and the induced mass terms in graphene bilayer based on conductance and band structure measurements.

Original languageEnglish
Pages (from-to)135-140
Number of pages6
JournalJournal of Computational Science
Volume26
DOIs
StatePublished - May 2018

Bibliographical note

Publisher Copyright:
© 2018 Elsevier B.V.

Keywords

  • AA-stacked bilayer graphene
  • Conductance
  • Substrate
  • Transmission

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Substrate effects on transport properties of a biased AA-stacked bilayer graphene'. Together they form a unique fingerprint.

Cite this